Image Based Detection of 3D Scene Change

カテゴリ: 論文誌(論文単位)

グループ名: 【C】電子・情報・システム部門

発行日: 2013/01/01

タイトル(英語): Image Based Detection of 3D Scene Change

著者名: Baowei Lin (Department of Information Engineering, Graduate School of Engineering, Hiroshima University), Yuji Ueno (Department of Information Engineering, Graduate School of Engineering, Hiroshima University), Kouhei Sakai (Department of Information Engi

著者名(英語): Baowei Lin (Department of Information Engineering, Graduate School of Engineering, Hiroshima University), Yuji Ueno (Department of Information Engineering, Graduate School of Engineering, Hiroshima University), Kouhei Sakai (Department of Information Engineering, Graduate School of Engineering, Hiroshima University), Toru Tamaki (Department of Information Engineering, Graduate School of Engineering, Hiroshima University), Bisser Raytchev (Department of Information Engineering, Graduate School of Engineering, Hiroshima University), Kazufumi Kaneda (Department of Information Engineering, Graduate School of Engineering, Hiroshima University), Koji Ichii (Department of Information Engineering, Graduate School of Engineering, Hiroshima University)

キーワード: change detection，nearest image，matching，camera position

要約(英語): In this paper we propose a method for 3D scene change detection. We particularly target the case when a 3D scene can be changed by disasters and accidents. Assuming that there is a 3D point cloud of the 3D scene reconstructed before the change by using a set of training images, the camera positions of newly taken query images with small changes can be estimated. To find a region of change in the query images, first, the nearest image of a query image is selected from the training images. Then, the matching between the query image and the nearest images is computed for finding a set of non-matching points as a region of change. These change regions are visualized by projecting 3D points back only to those regions. Experimental results show that our method can detect change areas correctly.

本誌: 電気学会論文誌C（電子・情報・システム部門誌） Vol.133 No.1 （2013） 特集：2012 Korea-Japan Joint Workshop on Frontiers of Computer Vision (FCV2012)

本誌掲載ページ: 103-110 p

原稿種別: 論文／英語

電子版へのリンク: https://www.jstage.jst.go.jp/article/ieejeiss/133/1/133_103/_article/-char/ja/